Evidence map›Paper›PMID 35211484›Full record

ArticleFrontiers in medicine2021

Methylphenidate Use and Infectious Diseases in Children With Attention Deficit and Hyperactivity Disorder: A Population-Based Study.

Vincent Chin-Hung Chen, Kai-Liang Kao, Yi-Lung Chen, Shu-I Wu, Min-Jing Lee, Michael Gossop

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 55% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 2 countries.

Vincent Chin-Hung ChenDepartment of Psychiatry, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.
Kai-Liang KaoDivision of Infectious Diseases, Department of Pediatrics, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Yi-Lung ChenDepartment of Healthcare Administration, Asia University, Taichung, Taiwan.
Shu-I WuDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Min-Jing LeeDepartment of Psychiatry, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.
Michael GossopNational Addiction Centre, Institute of Psychiatry, King's College London, London, United Kingdom.
Asia University · TWChang Gung University · TWChiayi Chang Gung Memorial Hospital · TWFar Eastern Memorial Hospital · TWKing's College London · GBMackay Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveChildren with attention deficit hyperactivity disorder (ADHD) have more visits to the emergency department (ED) due to injuries than those without ADHD. However, no study has investigated whether children with ADHD have more ED visits or hospitalizations due to infectious diseases (IDs) and whether methylphenidate (MPH) treatment may reduce the risk.

methodThe incidence of ID-related ED visits or hospitalizations was defined as the main outcome. The Cox regression and conditional Poisson regression models were calculated to estimate hazard ratios (

resultsChildren with ADHD had higher rates of emergency visits ( CONCLUSIONS AND RELEVANCE: This is the first study that reported an increased risk of ID-related healthcare utilizations in children with ADHD compared to those without, and that such risks may be significantly reduced in ADHD children that received MPH treatment.

Indexed as

attention deficit and hyperactivity disorderhospitalizationsinfectious diseasesmethylphenidate (MPH)visits to emergency departments

Identifiers

PMID35211484
PMCPMC8861374
OpenAlexW4210880292

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.